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Caleydo is an open source visual analysis framework targeted at biomolecular data. The biggest strength of Caleydo is the visualization of interdependencies between multiple datasets. Caleydo can load tabular data and groupings/clusterings. You can explore relationships between multiple groupings, between different datasets and see how your data maps onto pathways.
Caleydo has been successfully used to analyze mRNA, miRNA, methylation, copy number variation, mutation status and clinical data as well as other datset types.

All published parts of the software are available as open source. Developers and researchers that want to use or enhance the current tools are invited to contribute. See our Github page for further details.

News

19 Jun 2015 | Open PostDoc and PhD Student Position @ University of Utah

We are seeking a postdoctoral fellow and multiple PhD students to join the Caleydo team at the University of Utah. For the postdoctoral position, please refer to this announcement. If you are interested in the University of Utah PhD program, please get in touch with Alexander Lex at alex@sci.utah.edu.

Interested in doing a PhD in the Caleydo project? We have an open Research Assistant position in the field of Information Visualization / Visual Analytics at the Johannes Kepler University Linz, Austria. Find more information in the detailed job announcement.